Severity and Cobb angle of scoliosis patients quantified with markerless trunk surface topography using k-NN search and multivariate regression analysis

ABSTRACT

Adolescent Idiopathic Scoliosis (AIS) is a complex 3D condition that affects the shape of the torso by increasing bilateral asymmetries. To analyse the 3D torso shape and consequently the severity of scoliosis, markerless surface topography (ST) has been successfully applied in combination with asymmetry contour maps. The main benefits are a reduction of X-ray radiation to patients and an impression of the 3D torso asymmetric shape pattern. The purpose of this work is to improve the classification accuracy for severity based on k-NN search and to provide a prediction tool for the Cobb angle based on multivariate linear regression.

KEYWORDS:

• Scoliosis diagnosis
• surface topography
• asymmetry maps
• severity classification
• Cobb angle prediction

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The presented work was partially supported via EuroNorm GmbH, as project executing agency, within the funding program ‘Innovationskompetenz’ (INNO-KOM project MuVaKoSca, 49MF170001) by the Federal Ministry of Economic Affairs and Energy (BMWi) due to decisions of the German Parliament.